The Scientific Computing Power of Julia* Revealed
Explore the power of the fifth most popular high-performance computing programming language used by many of the world's top scientific organizations including NASA*, Climate Modeling Alliance, and CERN.
In this workshop, gain a solid introduction to Julia*, including using it in the context of computational thinking and scientific computing from Alan Edelman, professor of applied mathematics at Massachusetts Institute of Technology (MIT) and principal investigator at the MIT Computer Science and AI Lab.
- Applying data analysis and computational and mathematical modeling effectively
- Using the Intel® oneAPI Math Kernel Library (oneMKL) in Julia to achieve accelerated performance for vector, vector-matrix, and matrix-vector operations
- Discovering programming advantages of Julia when used with oneAPI
Develop high-performance, data-centric applications for CPUs, GPUs, and FPGAs with this core set of tools, libraries, and frameworks including LLVM-based compilers.